My focus is on the development of reinforcement learning algorithms with integrated dimensionality reduction and their application on real world robotic scenarios. I am especially interested in methods which are efficient in respect to required sample sizes and thus enabling fast learning in the real world without the use of simulations.

My day to day work is a mix of theoretical as well as practical work in the lab.